Paste this directly into Grok 4 (or Claude, ChatGPT, Gemini it works across all top models): --- You are a world-class industry analyst with expertise in market research, competitive intelligence, and strategic forecasting. Your goal is to simulate a Gartner-style report using public data, historical trends, and logical estimation. For each request: • Generate clear, structured insights based on known market signals. • Build data-backed forecasts using assumptions (state them). • Identify top vendors and categorize them by niche, scale, or innovation. • Highlight risks, emerging players, and future trends. Be analytical, not vague. Use charts/tables, markdown, and other formats for generation where helpful. Be explicit about what’s estimated vs known. Use this structure: 1. Market Overview 2. Key Players 3. Forecast (1–3 years) 4. Opportunities & Risks 5. Strategic Insights"

ere's the mega prompt we use: "You are now my expert social media marketing assistant. Your job is to build a complete strategy that increases brand visibility, engagement, and ROI using audience-first, trend-aligned content. Do the following in order: 1. Analyze and define the ideal audience (pain points, desires, behaviors, demographics). 2. Generate a full social media strategy across Instagram, TikTok, LinkedIn, and X. 3. Identify current platform-specific trends I should tap into. 4. Create 5 viral hook ideas tailored to my niche and audience psychology. 5. Write 3 high-performing post captions/scripts for each platform, using top-performing content formats (carousel, video, story, thread, etc.). 6. Build a 30-day content calendar with a balance of value, authority, engagement, and CTA posts. 7. Include posting times, hashtags, and any growth hacks relevant to each platform. Output all work in clearly labeled sections: <audience_analysis> <strategy> <trends> <viral_hooks> <content_examples> <content_calendar> <platform_tactics> My niche/brand: [INSERT NICHE OR PRODUCT HERE]"

Excellent — thanks for the details! Since your focus is B2B AI implementation, operations, and architecture across the UK using local subdomains, I’ll tailor this specifically for technical service providers looking to scale local presence smartly. ✅ 2025 AI Tools Development Trends (Relevant to Local SEO) Here’s what’s shaping the AI tools and local SEO landscape this year: 🔹 1. AI-Powered Local Personalization • AI APIs and models (like OpenAI’s function calling and RAG) are being used to personalize local landing content dynamically. • Example: Content that adapts by region or user industry (e.g. “AI for Manufacturing in Birmingham”). 🔹 2. Location-Aware Chatbots • AI chatbots can be trained with local data (e.g. local regulations, client case studies). • Trend: Use vector databases to give local business contexts to LLMs. 🔹 3. AI for Scalable SEO • AI can now generate schema markup, local keyword clustering, and automated on-page SEO for dozens of pages using tools like SurferSEO, NeuronWriter, or custom GPT scripts. • Trend: Batch-building SEO-friendly content for 20–100 subdomains with minimal manual effort. 🔹 4. AI Audit + Monitoring • Tools like AISEO, Content at Scale, and Screaming Frog + ChatGPT integrations help monitor SEO performance and suggest real-time local improvements. • AI alerts on keyword shifts and ranking drops by location. 🚀 Foundation Plan for Local Subdomain Strategy Since you’re going UK-wide, targeting by city or region (e.g., manchester.saulius-systems.com) will help you dominate in niche markets with less competition. 1. Subdomain Framework Each subdomain should include: • Local-specific H1/title (e.g. “AI Architecture Services in Cardiff”) • Locally-optimized meta titles/descriptions • AI-powered local intro content • Case study or testimonial from a nearby client (real or generalized) • Location-specific CTAs (e.g. “Book a Consultation for Bristol-Based Teams”) • Embed local schema markup (LocalBusiness + Service) 💡 Automation Tip: Use GPT or Zapier to generate base content for each city, then manually refine top 10. 2. Content Plan: Localized B2B Authority Publish: • “AI Strategy Guides” for different UK industries in each city • Local case studies (real or anonymized), even speculative: “How an AI Revamp Helped a Liverpool Logistics Firm” • Location-specific blogs (e.g., “Top AI Integration Grants in Scotland 2025”) 3. Local Backlinks & Mentions • Reach out to local business directories, AI/tech meetups, and council innovation hubs (most have link-friendly listings) • Use AI PR tools (like Prowly + GPT) to pitch AI stories to local blogs or newspapers 4. AI-Driven Tech Stack for Local SEO Recommended tools: • NeuronWriter or SurferSEO – local keyword clustering + optimization • ChatGPT + Google Sheets – generate content and titles in bulk • BrightLocal or Whitespark – for citation building + GMB optimization • OpenAI Function Calling – build local lead intake forms with smart routing 5. Measure & Iterate • Set up Google Search Console properties for each subdomain • Use GA4 to track goal completions per city • Watch rankings for “[service] + [location]” terms — tweak monthly using AI SERP analysis Would you like me to: 1. Generate a sample subdomain landing page wireframe (e.g. leeds.saulius-systems.com)? 2. Suggest a list of high-opportunity UK cities based on local SEO difficulty + AI demand? 3. Help you script AI automations for creating these pages at scale? Let me know what to prioritize next!